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- Tasks: Dive into machine learning and data-driven solutions to enhance research funding processes.
- Company: Join the NIHR, a leader in health and social care research that promotes wellbeing and economic growth.
- Benefits: Enjoy a hybrid work model, generous benefits, and a focus on your wellbeing with Gold Mind Workplace awards.
- Why this job: Contribute to impactful projects while collaborating with experts in a supportive and innovative environment.
- Qualifications: Strong foundation in Python or R, experience with machine learning models, and excellent communication skills required.
- Other info: We value diversity and inclusivity; apply by 11.59 pm GMT on the closing date.
The predicted salary is between 28800 - 48000 £ per year.
Transform research funding with hands-on data science innovation.
Are you ready to dive into the dynamic world of machine learning and data-driven solutions? Are you passionate about contributing to impactful projects and collaborating with experts? Join us as a Data Scientist at the National Institute for Health and Care Research (NIHR) Coordinating Centre. In this role, you’ll work closely with the Senior Data Scientist to deliver innovative data science projects that enhance research funding processes, improve operational efficiency, and drive real-world impact.
Who are we?
The NIHR funds, enables and delivers world-leading health and social care research that improves people’s health and wellbeing and promotes economic growth. We are also a major funder of applied health research in low and middle-income countries.
Further information can be found at: . You are encouraged to review our operational priorities and to watch this introductory video.
What will you be doing?
Responsibilities
As a Data Scientist, you’ll contribute to the development, deployment, and optimisation of machine learning solutions that address complex challenges. Key responsibilities include:
- Developing machine learning models: Clean, process, and prepare data to build, test, and deploy models for tasks such as text classification and summarisation.
- Enhancing data infrastructure: Collaborate on creating and maintaining robust data pipelines to improve data accessibility for analysis.
- Integrating and deploying solutions: Work with the Senior Data Scientist to ensure models are securely deployed via APIs or batch processing, adhering to organisational best practices.
- Communicating insights: Generate reports and visualisations to present findings effectively to technical and non-technical audiences.
- Fostering innovation: Stay informed about emerging techniques, tools, and best practices in data science to support continuous improvement.
Who are we looking for?
We’re seeking a hands-on, detail-oriented Data Scientist with a strong foundation in machine learning and a collaborative mindset. Essential qualities include:
- Proven experience with Python (preferred) or R, using libraries such as pandas, scikit-learn, PyTorch, and TensorFlow.
- Familiarity with SQL for data extraction and transformation.
- Experience building and deploying machine learning models, with exposure to natural language processing (NLP) models being a plus.
- Strong problem-solving skills and a solution-oriented approach to meeting deadlines.
- Excellent communication skills, with the ability to present complex findings to diverse audiences.
Desirable qualifications include knowledge of cloud platforms (GCP, AWS, or Azure), data visualisation tools (e.g., Power BI, Qlikview, or Tableau), and awareness of MLOps principles.
What can we offer you?
We recognise that our staff are at the heart of what we do so we make sure we look after you! As well as a generous benefits package, as an organisation we prioritise your wellbeing as reflected in the Mind Workplace Wellbeing awards, where we have achieved Gold for the fifth year in a row!
Our hybrid working approach helps you with your work-life balance and offers you the chance to split your time between office and home working. We strive for cohesive and collaborative teams so our expectation is you spend around 20% of your time in the office. We also know that personal development is important and have a range of ways to support you.
To learn more about working in our teams visit our website, or check out the video below:
For further information/an informal discussion, contact .
Further Details
- Job Description and Person Specification
We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.
Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or quoting the job number. #J-18808-Ljbffr
Data Scientist employer: University of Southampton Malaysia
Contact Detail:
University of Southampton Malaysia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific machine learning models and techniques mentioned in the job description. Being able to discuss your experience with text classification and summarization will show that you understand the role's requirements.
✨Tip Number 2
Highlight any collaborative projects you've worked on, especially those involving data pipelines or model deployment. This will demonstrate your ability to work closely with others, which is crucial for this position.
✨Tip Number 3
Stay updated on the latest trends in data science and machine learning. Mentioning recent tools or techniques you've learned about can showcase your commitment to continuous improvement and innovation.
✨Tip Number 4
Prepare to discuss how you communicate complex data insights to both technical and non-technical audiences. Providing examples of past presentations or reports can illustrate your strong communication skills.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description and understand the responsibilities and qualifications required for the Data Scientist position. This will help you tailor your application to highlight relevant experiences.
Highlight Relevant Skills: Make sure to emphasize your experience with Python or R, as well as any familiarity with machine learning libraries like pandas, scikit-learn, PyTorch, and TensorFlow. Mention any specific projects where you've built or deployed machine learning models.
Showcase Communication Abilities: Since excellent communication skills are essential for this role, include examples of how you've effectively presented complex data findings to both technical and non-technical audiences in your previous work.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the key responsibilities and desirable qualifications mentioned in the job description. Use specific examples that demonstrate your problem-solving skills and collaborative mindset.
How to prepare for a job interview at University of Southampton Malaysia
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, R, and relevant libraries like pandas and scikit-learn. Highlight specific projects where you've built and deployed machine learning models, especially those involving natural language processing.
✨Demonstrate Problem-Solving Abilities
Prepare examples that showcase your strong problem-solving skills. Discuss how you approached complex challenges in previous projects and the solutions you implemented to meet deadlines.
✨Communicate Effectively
Practice explaining your technical findings to both technical and non-technical audiences. Use clear and concise language, and be ready to present visualizations or reports that illustrate your insights.
✨Stay Updated on Industry Trends
Familiarize yourself with emerging techniques and tools in data science. Be ready to discuss how you keep your skills current and how you can contribute to fostering innovation within the team.
